To investigate the model-agnostic property of LOCA, we employ different base models, i.e., DAE [1]} and MultVAE [2]}.
Compared to the base models, Figure REF  shows that both LOCA\(_{DAE}\)  and LOCA\(_{VAE}\)  consistently outperform their global counterparts. Moreover, as the number of local models increases, we observe consistent performance gains. These results imply that a locally low-rank prior is generally valid regardless of specific base models. Therefore, we conclude that LOCA can be easily applied to other base models.
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